strickland michael t (7 Ergebnisse)

Zustand: Very Good. Bafu; Nathan Deiwert; Tracy Eire; Art Ikuta; Anna Malone; Josie Moore; Karah Richardson; Tray Streeter; Roddy Taylor; Haotian "Allen" Zhang; April Solomon; Haileigh Enriquez (illustrator). Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Zustand: Good. Bafu; Nathan Deiwert; Tracy Eire; Art Ikuta; Anna Malone; Josie Moore; Karah Richardson; Tray Streeter; Roddy Taylor; Haotian "Allen" Zhang; April Solomon; Haileigh Enriquez (illustrator). Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Zustand: New. Bafu; Nathan Deiwert; Tracy Eire; Art Ikuta; Anna Malone; Josie Moore; Karah Richardson; Tray Streeter; Roddy Taylor; Haotian "Allen" Zhang; April Solomon; Haileigh Enriquez (illustrator).

Zustand: New. In.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the 'space of interactions' approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2' MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

Zustand: Gut. Zustand: Gut | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.